Being honest about what's NOT done: no dark mode, no DataTable, no date picker, partial test coverage, thin docs, and the API will still break between versions. It's early. I'm sharing it early on purpose.

We took Apache Fineract (apache/fineract), a real open-source core banking platform with 800,000 lines of Java across ~6,000 PRs, and ingested its architectural decisions, constraints, and rationale into KyraDB. That's years of institutional knowledge, compliance rules, contractual commitments, "we tried this and it broke prod" — turned into queryable context. We then mocked 15 sales calls. Our analysis agent reads each transcript, classifies it (support, feature request, churn risk, etc.), and routes feature requests into a delivery pipeline: requirements extraction → spec writing → ticket creation → PR generation. Every step is a real LLM call, every KyraDB read/write is a real MCP call — no hardcoded routing, no mocked "AI." The interesting part — running it with and without context: 🔴 Without KyraDB context: the spec writer has nothing to check the new requirement against, so it generates a spec normally and looks fine on paper. 🟢 With KyraDB context: the same requirement gets checked against Fineract's real PR history before a single line of spec is written. When a new requirement (e.g. maker-checker/dual-authorization for loan modifications) topically overlaps with a prior merged PR (FINERACT-274 — a maker-checker/datatable rejection issue), Kyra blocks spec generation outright — citing the exact record ID and rationale — instead of producing a spec/ticket/PR that would duplicate or conflict with already-shipped work. That's the core thesis: context isn't a nice-to-have, it's what stops you from re-litigating decisions your org already made and it saves the tokens (and engineering time) you'd otherwise burn building something that gets rejected. hashtag#AI hashtag#SDLC hashtag#ContextEngineering hashtag#KyraDB hashtag#GoogleImmersion hashtag#AgenticAI hashtag#ApacheFineract @GoogleStartups @AntlerIndia @16vchq Try here: kyra-pipeline-1042501689076.…

SAP data models. Request your free, no obligation data model by Safyr today. ow.ly/qcVj50WWBTo #DataTable #DataModel #DataModeling

🔴 Laravel 13 Livewire 4 vs Inertia 3 Vue 3 - Datatable con filtros y ordenación 🔴 Comparamos aspectos de implementación en el servidor como scope, esquemas, clases abstractas, eventos personalizados y más y veamos cual implementación es mejor. Video: youtu.be/w-bWyCDGMiA

初期表示で持ってきたDataTableを比較用に退避しておきたかっただけなのに何十分とかかったわ

一番スコープデカいとこで宣言したDataTableくらい保持しろや なんで1回ポストバック挟んだ程度で喪失するんどアホ

📊 Data that’s easy to learn from A clean, structured table built for learning platforms. Readable rows, smart sorting, and zero clutter 🎓 👇 Explore the DataTable

Currently, custom weapons use a set template(Shotguns, Assault Rifles, Pistols, SMGs) with a separate definition from AthenaRangedWeapons. Because of this, we do not have the same abilities as Epic's weapons, which utilize AthenaRangedWeapons(the datatable that allows them to edit stats). But for stats, however, we use a data table-like system that allows us to modify weapon values under one of those templates. This is currently very limited, as we cannot change things like headshot multipliers.

DataTable? Having to remember the index elsewhere is my UX nightmare. Creating an item spawner that I have to type in ItemID = 342 (and opening up the datatable so I can find the ID I want to type in) is gross. Instead want to choose "FishingRod_01" from a dropdown

Russia gained ~4million people but your datatable only show 1 million 🤨

But Russia somehow only gained 1 million in the datatable. Hmm

it is? i didnt see it in the tandem datatable

Datatable

Massive Live Shai-Hulud Supply Chain Risk on Github 935 Stars > https://github[.com/jahirfiquitiva/Blueprint/blob/sample/.github/setup.js 1,200 Stars > https://github[.com/icflorescu/mantine-datatable/blob/main/.github/setup.js 341 Stars > https://github[.com/wormholes-org/wormholes/blob/master/.github/setup.js 306 Stars > https://github[.com/Skipperlla/rn-swiper-list/blob/main/.github/setup.js Etc... etc.. etc.. https://github[.com/search?q="node .github/setup.js" path:settings.json&type=code - Goto repo > .github > setup.js > 4mb~ setup.js

UE5プラグイン「Data Indexer」をFabでリリースしました！🎉 DataTable感覚で扱える、構造化データ管理プラグイン ✅ GUID主キーで安全な行参照 ✅ インデックスによる高速逆引き ✅ スキーマ定義 & 専用Blueprintノード完備 #UE5 #UnrealEngine #ゲーム開発

Quick tip: Hold shift to scroll horizontally in the tenders Datatable.

UE5でのDataTableの扱いを楽にしました！ LibreOfficeの.odsからcsvに変換するバッチファイルを作りました。 編集はLibreOfficeで行います UE5ではReImportするだけです😆 #UE5

v0 alpha-5 is live. New createOtp composable, a new highlight utility, and DataTable polish. vtfy.link/vuetify0-v1-alpha-…

What’s the quickest method to insert over 5000 data? One of the most common way is to use: SQLBulkCopy. It is a part of .NET and it is intended for high-performance data loads. You can use this to quickly copy huge bulk data from any data source like DataTable to a SQL Server table. When it comes to specifics, inserting around 300k records happens in under 2 seconds. The desired outcome can be achieved differently as well. Using an alternate library. Here you can see what is that library and which one is better: pavle.codes/dapper-plus-or-s… ♻️ Repost to help others. ➕ Follow me(@pavle_dav) for more posts like this.